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Paper Citation Record · LEDGER

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.04765.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.04765 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:03.693545Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 02d77625-3a4b-4469-b4b4-7d044dbd7be4 · inbound

Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring Decisions cites this paper.

Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring Decisions Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:03.693545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:03.693545Z digest=sha256:ef450149ed4e89c4a2a6e597df7fb4f794eb9b894e94e26eecf4ab5dedca8c3f

Observation f7810828-6d68-49ee-9ad0-f11f05ebab57 · inbound

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models cites this paper.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:14.661746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:14.661746Z digest=sha256:d7ba4c96e93dfda2e1e78d765a93eaac0899e97b77b68da9c2927363096c6279

Observation 511be4ea-38f4-4c6c-b3dd-17291ae42dd2 · inbound

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification cites this paper.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T17:21:32.692582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:21:32.692582Z digest=sha256:7588e2bafd6f69307b87f560ed6ac5db402df7cceafcbeeb907f863a2d97be11

Observation 227a07d0-5bbb-4aab-8a2e-af4309b75550 · inbound

Analysis of Blood Report Images Using General Purpose Vision-Language Models cites this paper.

Analysis of Blood Report Images Using General Purpose Vision-Language Models Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:22:46.824241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:22:10.226073Z digest=sha256:5f6cb9176e4a1b11c049ab526d581acd25c96d45d93d99d8826763813325974a